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作者：Zhou, Tingting; Elliott, Michael R.; Little, Roderick J. A.
作者单位：University of Michigan System; University of Michigan
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作者：Luo, S.; Song, R.; Styner, M.; Gilmore, J. H.; Zhu, H.
作者单位：North Carolina State University; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina; University of North Carolina Chapel Hill; University of Texas System; UTMD Anderson Cancer Center
摘要：The aim of this article is to develop a novel class of functional structural equation models (FSEMs) for dissecting functional genetic and environmental effects on twin functional data, while characterizing the varying association between functional data and covariates of interest. We propose a three-stage estimation procedure to estimate varying coefficient functions for various covariates (e.g., gender) as well as three covariance operators for the genetic and environmental effects. We devel...
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作者：Risser, Mark D.; Paciorek, Christopher J.; Stone, Daithi A.
作者单位：United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; University of California System; University of California Berkeley; United States Department of Energy (DOE); Lawrence Berkeley National Laboratory
摘要：The Weather Risk Attribution Forecast (WRAF) is a forecasting tool that uses output from global climate models to make simultaneous attribution statements about whether and how greenhouse gas emissions have contributed to extreme weather across the globe. However, in conducting a large number of simultaneous hypothesis tests, the WRAF is prone to identifying false discoveries. A common technique for addressing this multiple testing problem is to adjust the procedure in a way that controls the ...
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作者：Wang, Jingshu; Owen, Art B.
作者单位：University of Pennsylvania; Stanford University
摘要：Meta-analysis combines results from multiple studies aiming to increase power in finding their common effect. It would typically reject the null hypothesis of no effect if any one of the studies shows strong significance. The partial conjunction null hypothesis is rejected only when at least r of n component hypotheses are nonnull with r = 1 corresponding to a usual meta-analysis. Compared with meta-analysis, it can encourage replicable findings across studies. A by-product of it when applied ...
